We have an exciting opportunity for you to shape the future of data at Chase and advance your career in a collaborative environment.

As a Data Domain Architect Senior Associate within the Customer Core Data team, you will design and deliver robust, modernized data solutions that support analytics and business objectives. You will partner with stakeholders to develop high-quality, curated data products and contribute to a team culture focused on innovation and continuous improvement.

Job responsibilities

Define and execute strategy for product data development and deliveryLead discovery and prioritization of data product needs, ensuring solutions are reliable and reusableBuild collaborative partnerships with stakeholders to document product data and manage metadataOversee data quality, integrity, protection, retention, storage, and usageEnsure compliance with firmwide policies, standards, and procedures for data governanceDevelop and maintain relationships with data delivery partners and consumersDemonstrate governance by tracking workstreams, prioritizing deliverables, and ensuring successful delivery

Required qualifications, capabilities, and skills

Bachelor’s degree and minimum of six years of industry experience in a data-related fieldProficiency in data querying and manipulation using technologies such as SQLDemonstrated ability to manage tight delivery timelines across multiple workstreamsProven ability to execute through successful internal partnerships and influence across job functionsProficiency in Agile methodologies with tools like Jira or Confluence for backlog managementStrong communication skills, both written and verbalExperience in defining and implementing multi-faceted projects or programs

Preferred qualifications, capabilities, and skills

Experience with cloud technologies such as Snowflake or AthenaFamiliarity with data visualization tools such as Tableau or AlteryxExposure to modern data governance practices, including data quality, integrity, access, and complianceExperience collaborating with roles such as Data Product Owner, Data Owner, Data Engineer, Data Modeler, and Data Architect